dask
0.14.0

Getting Started

  • Install Dask
  • Use Cases
  • Examples
  • Dask Cheat Sheet

Collections

  • Array
  • Bag
  • DataFrame
  • Delayed

Scheduling

  • Distributed Scheduling
  • Scheduler Overview
  • Choosing between Schedulers
  • Shared Memory
  • Scheduling in Depth

Diagnostics

  • Inspecting Dask objects
  • Diagnostics

Graphs

  • Overview
  • Specification
  • Custom Graphs
  • Optimization

Help & reference

  • Contact and Support
  • Changelog
  • Presentations On Dask
  • Development Guidelines
  • Frequently Asked Questions
  • Comparison to PySpark
  • Opportunistic Caching
  • Internal Data Ingestion
  • Citations
  • Funding
dask
  • Docs »
  • Presentations On Dask
  • View page source

Presentations On DaskΒΆ

  • PLOTCON 2016, December 2016
    • Visualizing Distributed Computations with Dask and Bokeh
  • PyData DC, October 2016
    • Using Dask for Parallel Computing in Python
  • SciPy 2016, July 2016
    • Dask Parallel and Distributed Computing
  • PyData NYC, December 2015
    • Dask Parallelizing NumPy and Pandas through Task Scheduling
  • PyData Seattle, August 2015
    • Dask: out of core arrays with task scheduling
  • SciPy 2015, July 2015
    • Dask Out of core NumPy:Pandas through Task Scheduling
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